Senior Data Engineer (Earnix)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2h ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Colombia
The description agrees: it names Costa Rica, Peru, Colombia, Bolivia.
What the ad says
…Location: Costa Rica, Peru, Colombia, Bolivia Mode: Remote We at Cofor…
Pay not stated
Similar roles pay $5,000–7,000/mo
Middle 50% of 9 listings that do state pay — Engineering · Senior · Colombia · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 1h ago · last seen 1h ago
The listing
Job Title: Senior Data Engineer (Earnix)
Key Skills: Azure Databricks, dbt, Python, PySpark, SQL, Delta Lake, Unity Catalog, Azure, CI/CD, Data Engineering, Earnix
Experience: 7+ YOE.
Location: Costa Rica, Peru, Colombia, Bolivia
Mode: Remote
We at Coforge are hiring Senior Data Engineer (Earnix) (#006fu00000cVkwnAAC-1) with the following skill set.
Key Responsibilities
-
Design, develop, and optimize production-grade data pipelines and governed data products using Azure Databricks, dbt, Python/PySpark, SQL, and Delta Lake.
-
Build conformed Silver and Gold data models for rating factors, model inputs, quote versions, policy premiums, and other insurance pricing and rating data.
-
Implement scalable Lakehouse engineering practices, including data quality, observability, monitoring, governance with Unity Catalog, and performance optimization.
-
Collaborate with pricing, actuarial, underwriting, Data Science, BI, Architecture, and Quality Engineering teams while providing technical leadership through design reviews, code reviews, and mentoring.
Required Skills & Qualifications
-
7+ years of Data Engineering experience, including strong recent experience with enterprise Databricks platforms.
-
Strong production experience with Azure Databricks, Spark, Delta Lake, Workflows/Jobs, Databricks SQL, and platform optimization.
-
Advanced hands-on experience with dbt models, macros, tests, documentation, incremental patterns, and CI/CD integration.
-
Strong Python and PySpark skills for transformations, reusable frameworks, integrations, validation, and automated testing.
-
Advanced SQL skills, including query optimization, data reconciliation, and analytical data modeling.
-
Strong experience with enterprise ELT/ETL, batch pipelines, incremental processing, data quality, and production support.
-
Practical experience with Unity Catalog or comparable data governance, lineage, and access-control capabilities.
-
Experience with CI/CD, Git, automated deployments, peer reviews, and environment promotion for data products.
-
Strong Azure experience, including cloud storage, identity, security, and integration patterns.
-
Proven ownership of production data pipelines from design through deployment, monitoring, and incident resolution.
Preferred Skills:
-
Experience with insurance pricing, policies, quotes, premiums, rating factors, underwriting, or actuarial data.
-
Experience integrating with Earnix or another enterprise pricing/rating engine.
-
Experience with Dataiku, MLflow, or governed machine-learning workflows.
-
Knowledge of Kafka, Event Hubs, streaming patterns, FastAPI, REST APIs, or low-latency data services.
-
Experience with Power BI and Terraform.
Posted On: 12-10-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.